Description

Process manufacturers have been getting pressure from all sides in recent years due to increased raw materials and operational costs and a demanding competitive environment. The utilization of machine learning techniques to extract important knowledge from the data not only on the production process but also from the market can reduce costs, reduce energy consumption, increased revenue and create a safer working environmental. Applying advanced statistical methodologies and analytics to manufacturers’ data can result also to reduced compliance errors and increased customer satisfaction. Deployed in conjunction with each other. Deployed in conjunction these tools can produce insights to optimize the productivity of individual assets as well as the total manufacturing operation and maximize their profitability.